Clipboard detection

Detect Suspicious Paste Behavior During Live Interviews.

Clipboard use is not automatically cheating. InterviewWatch looks for context: large or structured paste events, paste bursts after a question, paste timing near AI tool activity, and repeated copy-paste behavior during moments when the candidate is expected to reason live.

Large pasteReview
Structured code blockReview
Content capturedNo
Used with AI signalHigh
How it works

Size, timing, and source matter more than the clipboard text.

The platform does not need to read what was pasted to know that the paste event may matter. It evaluates metadata such as size, structure, timing, foreground context, and nearby integrity signals.

Large paste bursts

Flags large chunks of text or code that appear suddenly during a live answer.

Question timing

Correlates paste events with interview questions, long pauses, and answer bursts.

Signal correlation

A paste after AI tool activity, a focus switch, or remote-control evidence receives stronger review context.

Legitimate example

A candidate pastes a pre-approved boilerplate snippet during an open-book coding task. The event is visible, contextual, and not paired with other high-risk signals.

High-risk example

An AI assistant appears, the candidate pauses, focus changes, and a large structured answer is pasted into the editor seconds later.